Machine Translation with Minimal Reliance on Parallel Resources (Paperback, 1st ed. 2017)

This book provides a unified view on a new methodology for Machine Translation (MT). This methodology extracts information from widely available resources (extensive monolingual corpora) while only assuming the existence of a very limited parallel corpus, thus having a unique starting point to Statistical Machine Translation (SMT). In this book, a detailed presentation of the methodology principles and system architecture is followed by a series of experiments, where the proposed system is compared to other MT systems using a set of established metrics including BLEU, NIST, Meteor and TER. Additionally, a free-to-use code is available, that allows the creation of new MT systems. The volume is addressed to both language professionals and researchers. Prerequisites for the readers are very limited and include a basic understanding of the machine translation as well as of the basic tools of natural language processing.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	SpringerBriefs in Statistics
Release date:	August 2017
First published:	2017
Authors:	George Tambouratzis • Marina Vassiliou • Sokratis Sofianopoulos
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	88
Edition:	1st ed. 2017
ISBN-13:	978-3-319-63105-9
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > Applications of computing > Pattern recognition Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
LSN:	3-319-63105-5
Barcode:	9783319631059

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